harvard-edge / cs249r_bookLinks
Introduction to Machine Learning Systems
☆9,349Updated this week
Alternatives and similar repositories for cs249r_book
Users that are interested in cs249r_book are comparing it to the libraries listed below
Sorting:
- VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models☆3,521Updated 3 months ago
- This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights …☆4,395Updated 3 months ago
- Official code repo for the O'Reilly Book - "Hands-On Large Language Models"☆17,840Updated 3 months ago
- Introduction to PyTorch, covering tensor initialization, operations, indexing, and reshaping.☆750Updated last month
- ML from scratch☆2,424Updated 3 months ago
- [WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)☆11,275Updated 9 months ago
- ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy☆959Updated 2 months ago
- A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.☆4,363Updated 3 months ago
- ☆1,543Updated 3 weeks ago
- 100+ Fine-tuning Tutorial Notebooks on Google Colab, Kaggle and more.☆3,827Updated last week
- Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)☆3,750Updated 2 weeks ago
- Implement a reasoning LLM in PyTorch from scratch, step by step☆1,937Updated last week
- The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices☆4,375Updated 8 months ago
- Awesome LLM Books: Curated list of books on Large Language Models☆1,088Updated 3 weeks ago
- ☆2,889Updated last week
- A curated list of 100+ libraries and frameworks for AI engineers building with LLMs☆2,061Updated last month
- Machine Learning Q and AI book☆682Updated 3 months ago
- MCP Python Tutorial☆982Updated last month
- Machine Learning Journal for Intermediate to Advanced Topics.☆2,228Updated 2 months ago
- Implementation of all RL algorithms in a simpler way☆1,265Updated 2 months ago
- A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, …☆582Updated this week
- A one stop repository for generative AI research updates, interview resources, notebooks and much more!☆20,522Updated 3 weeks ago
- All Stanford Cheatsheets: Artificial Intelligence, Transformers, LLMs, Deep Learning, Machine Learning, Probabilities, Statistics, Algebr…☆729Updated last month
- Minimal and annotated implementations of key ideas from modern deep learning research.☆1,204Updated last month
- 🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽�…☆4,206Updated 6 months ago
- Python interactive dashboards for learning data science☆2,145Updated 3 weeks ago
- A curated list of 120+ LLM libraries category wise.☆8,223Updated 2 months ago
- Comprehensive guide to learn RAG from basics to advanced.☆1,163Updated 7 months ago
- NLP Zero to Hero in just 10 Kernels☆574Updated last year
- A repo collecting my generative AI projects☆65Updated 4 months ago